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Contextual AI’s new AI model crushes GPT-4o in accuracy — here’s why it matters
Contextual AI launches its Grounded Language Model (GLM) that achieves 88% factual accuracy, outperforming major competitors while minimizing hallucinations for enterprise applications.
“We knew that part of the solution would be a technique called RAG — retrieval-augmented generation,” said Douwe Kiela, CEO and cofounder of Contextual AI, in an exclusive interview with VentureBeat. A benchmark comparison showing Contextual AI’s new grounded language model (GLM) outperforming competitors from Google, Anthropic and OpenAI on factual accuracy tests. This entire system works in coordination with what Kiela calls “the best re-ranker in the world,” which helps prioritize the most relevant information before sending it to the grounded language model.
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